DATA OPS
Sync Dashboard Usage Decay into a Notion Lifecycle Registry
Pulls dashboard usage stats from BigQuery and upserts each dashboard's status (Active, Declining.
How it runs
The automated pipeline, trigger to output.
- TriggerNightly schedule starts sync
- ActionQuery 30/90-day usage from BigQueryBigQuery
- LogicClassify into Active / Declining / Abandoned
- ActionLook up dashboard row in Notion registryNotion
- OutputUpsert status and metrics into NotionNotion
What it does
Maintains a Notion database as the source of truth for dashboard lifecycle. On each run it pulls usage metrics from BigQuery, classifies every dashboard into a health tier, and upserts the row in Notion with last-viewed date, viewer count, and a Decay status property.
When to use it
Use this when leadership wants an always-current, browsable registry of every dashboard and its health, not just a one-off Slack ping. Good for orgs that already run governance docs in Notion and want decay tracked as a property rather than a report.
How it works
- 1A nightly schedule starts the sync.
- 2BigQuery returns per-dashboard usage over the trailing 30 and 90 days.
- 3A classification step maps metrics to a tier: Active, Declining, or Abandoned.
- 4The flow looks up each dashboard in the Notion registry by ID and upserts metrics plus the new status, preserving any manual owner notes.
- 5Output is the updated Notion database, ready for the team to filter on Abandoned and plan removals.
Set it up
What you configure once, before turning it on.
- 1Connect BigQueryDatasets, queries, schemas.
- 2Connect NotionPages, databases, comments.
- 3Set each agent's modelWe leave models unset so you pick the tier — fast + cheap, or top-quality.
- 4Tune it to your dataEdit the prompts, filters, and field mappings so it matches how your team works.
- 5Test, then turn it onRun once against a sample, confirm the output, then enable the trigger.
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